PhD in Computer Science

PhD in
Computer Science

Calls for applications
Final results - call for applications 39th cycle (a.y. 2023/2024)

Applications and Selections are closed. You can find all results on the page dedicated  to Selections.

For further information, please contact the PhD Office (phd.application@unive.it)

PhD overview

Collaborative PhD with:

International PhD with:

Masarykova univerzita

In partnership with:

Istituto Italiano di Tecnologia, Center for cultural heritage technology

Educational aims

The objective of the PhD programme is to prepare students with the formal tools necessary for rigorously implementing and developing research, allowing them to become experts in the methodologies for planning and evaluation of systems and computer systems.

The research is coordinated by three centers:

  • Acadia (AdvanCes in Autonomous, DIstributed and pervAsive systems) specializes in distributed and pervasive systems, highly relevant subjects today given the diffusion of smartphones, tablets and other intelligent devices (www.dais.unive.it/~acadia/);  
  • Kiis (Knowledge, Interaction and Intelligent Systems) studies how the imposing quantity of information that is readily available in today’s age can be transformed into useful knowledge for the innovation and the improvement of products, services and productive processes (www.dsi.unive.it/~kiis/);  
  • Dhv (Digital Humanities Venice), a collaboration between Ca’ Foscari, EPF de Lausanne and Telecom Italia, applies information technology to the humanities, providing innovative cultural tools to the digital cities of the future (www.unive.it/vedph). 

The programme is taught entirely in English.

Research themes

  • Bioinformatics;
  • Artificial vision and pattern recognition;
  • Evaluation methods of performance and system simulation;
  • Data and web mining;
  • Parallel and distributed systems and algorithms;
  • Formal methods of computer science;
  • Fundamentals of programming languages;
  • System security;
  • Multimedia and information systems;
  • Man-machine interaction;
  • Analysis and verification of programmes;
  • Web technologies.

Professional profiles

The PhD graduate will be able to manage complex projects, employing state of the art technologies and carrying out a precise and accurate analysis of the needs and of the solutions proposed.  These competencies, will form the ideal candidate not only for the large corporations who carry out research and development, but also for the start-ups and other businesses who wish to compete at a national and international level in the dynamic world of Information Technology.

Notices

The course "The AVA 3 model: the student and doctoral component within the QA system" is scheduled for Monday 26 February 2024 from 2 pm to 4 pm at the Danilo Mainardi Auditorium of the Scientific Campus in via Torino in Mestre. Fill out the form to enroll in the "The AVA 3 model" course.

Deadlines

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Agenda

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